Scientific Financial Systems Inc.

Struggling to get the most use out of your data? 𝐒𝐞𝐞 𝐟𝐚𝐫𝐭𝐡𝐞𝐫 𝐟𝐚𝐬𝐭𝐞𝐫 with #Quotient data science analytics. 𝐖𝐢𝐭𝐡 𝐚 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭 𝐥𝐢𝐜𝐞𝐧𝐬𝐞, 𝐲𝐨𝐮 𝐫𝐞𝐜𝐞𝐢𝐯𝐞: ✅ Factor Library of 300 pre-built Factors ✅ Factor Builder ✅ Multi-Factor Modeler ✅ Backtester ✅ Screener ✅ Data Mapper ✅ Forecaster ✅ Report Builder ✅ Event Study 𝐃𝐚𝐭𝐚: We are now offering a 30-day free trial of Quotient with a choice of 𝐋𝐒𝐄𝐆'𝐬 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 over Snowflake for Fundamentals, Estimates, and Pricing for US and Global equities data or US Equities Pricing and Fundamentals with Intrinio data sets. 𝐓𝐰𝐨 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐨𝐩𝐭𝐢𝐨𝐧𝐬: 🎯 Quotient Native App on Snowflake or 🎯 Quotient SaaS version We are here to help with training and set up needs. Would you to set up a call to learn more? Contact us now! Visit our website at www.scifinsys.com

𝐀𝐬 𝐚 𝐁𝟐𝐁 𝐟𝐢𝐧𝐭𝐞𝐜𝐡 𝐬𝐭𝐚𝐫𝐭𝐮𝐩, we closely monitor funding trends in order to plan our capital raises and drive growth. Through the Harvard Innovation Labs 𝐀𝐥𝐮𝐦𝐧𝐢 𝐋𝐋𝐗 𝐆𝐞𝐨 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 𝐩𝐫𝐨𝐠𝐫𝐚𝐦, we gain invaluable insights from peers and mentors, equipping us with tools to navigate today’s competitive fundraising landscape. We are currently seeing a shift in fundraising targets: 𝐒𝐞𝐞𝐝 𝐒𝐭𝐚𝐠𝐞 𝐀𝐑𝐑 𝐓𝐚𝐫𝐠𝐞𝐭𝐬 ✅ Previously: Seed rounds were often raised with minimal ARR, frequently below $250,000. ✅ Now: Startups typically require $250,000–$1 million ARR to secure $3 million or more. ✅ Key Shift: Investors now demand proof of early traction and validated product-market fit, emphasizing revenue growth and scalability. 𝐒𝐞𝐫𝐢𝐞𝐬 𝐀 𝐀𝐑𝐑 𝐓𝐚𝐫𝐠𝐞𝐭𝐬 ✅ Previously: Startups with under $1 million ARR often raised Series A rounds. ✅ Now: A minimum of $1.5 million ARR, coupled with 100%+ YoY growth, is the new standard. ✅ Key Shift: Series A investors prioritize scalable, repeatable revenue models and strong metrics like customer retention and unit economics. 𝐑𝐞𝐚𝐬𝐨𝐧𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐒𝐡𝐢𝐟𝐭 ✅ Investor Expectations: The rise of AI and other efficiencies has enabled startups to do more with less, so investors expect higher performance with fewer resources. ✅ Market Maturity: Increasing competition in the startup ecosystem has raised the bar for funding readiness. ✅ Exit Pressures: Investors seek larger returns and more substantial businesses that can scale quickly post-investment. These changes highlight the need for startups to demonstrate clear revenue growth, customer traction, and operational efficiency to secure funding in today’s market. Given revenue benchmarks have risen for Seed and Series A rounds, early-stage startups are seeking these key funding sources to bridge gaps and grow: ✅ 𝐆𝐫𝐚𝐧𝐭𝐬 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧𝐬: Programs like SBIR/STTR fund research-driven projects without repayment. ✅ 𝐏𝐫𝐞-𝐒𝐞𝐞𝐝 𝐚𝐧𝐝 𝐀𝐧𝐠𝐞𝐥 𝐈𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬: Focused on vision and team, not ARR. ✅ 𝐑𝐞𝐯𝐞𝐧𝐮𝐞-𝐁𝐚𝐬𝐞𝐝 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐧𝐠 (𝐑𝐁𝐅): Platforms like CapChase offer revenue-tied funding without equity loss. ✅ 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫𝐬: Programs like Y Combinator and Plug and Play provide funding, mentorship, and networking. ✅ 𝐂𝐫𝐨𝐰𝐝𝐟𝐮𝐧𝐝𝐢𝐧𝐠: Platforms like Kickstarter support pre-sales-based fundraising. ✅ 𝐋𝐨𝐚𝐧𝐬: Platforms like Kiva provide small loans for working capital. ✅ 𝐁𝐨𝐨𝐭𝐬𝐭𝐫𝐚𝐩𝐩𝐢𝐧𝐠: Pre-sales or advance payments fund development while maintaining control. By leveraging these options, startups can secure resources, scale sustainably, and prepare for future funding rounds. #startupfunding #fintech #harvardIlabs Thara Pillai Ashley Olafsen

Here at SFS, we work on behalf of our customers to identify quality financial data sets offered at attractive prices. In our opinion, Intrinio has done a great job of maintaining quality while keeping costs low. We now offer Quotient as a Snowflake Native App pre-packaged with Intrinio data, allowing our customers immediate ability to perform value-added research without taking on expensive data costs. #quantitativeanalytics #equitydata #quantresearch

𝐔𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐉𝐮𝐩𝐲𝐭𝐞𝐫 𝐍𝐨𝐭𝐞𝐛𝐨𝐨𝐤! Check out this new video by Christian Clay, Quant Engineer at SFS, demonstrating how to leverage Jupyter Notebook for advanced analytics and modeling within Quotient. See how to seamlessly integrate data, build and test models, and visualize results – all within a collaborative environment. #Quotient #JupyterNotebook #SFS #QuantFinance #FinTech #DataAnalytics #DataScience

Here’s something inspiring from our journey! SFS, a proud 2024 Snowflake Startup Challenge Finalist, recently took the spotlight on NYSE Floor Talk with Judy Khan Shaw. In this engaging interview, Peter Millington, our Founder and CTO, and Anne Millington, our CEO, share their vision for using advanced data science and technology to drive smarter, data-driven investment strategies. As a recognized leader in financial innovation, SFS is pioneering solutions that redefine how the financial industry leverages data. Catch the full interview to see how we're advancing the future of quantitative finance! #FinancialInnovation #DataScience #Fintech #InvestmentStrategies #SnowflakeSummit #NYSE #StartupChallenge #ScientificFinance #DataDriven #Quotient

Quantitative investing techniques are mission critical in today's markets! The integration of machine learning and NLP with traditional factors is pushing the field forward, offering quants new data-driven opportunities. While technology drives efficiency, human oversight remains essential to ensure these advancements translate into sound investment decisions. It is marvelous to see the heights achieved by human intelligence and artificial intelligence working together. #QuantInvesting #MachineLearning #InvestmentStrategies #ArtificialIntelligence https://lnkd.in/g73d_8bK

𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭 𝐃𝐚𝐭𝐚𝐦𝐚𝐩𝐩𝐞𝐫: 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚'𝐬 𝐍𝐞𝐰 𝐁𝐞𝐬𝐭 𝐅𝐫𝐢𝐞𝐧𝐝. Tired of manual data entry and endless spreadsheets? Quotient Datamapper, by Scientific Financial Systems, automates your data integration process with ease. ✅ Seamlessly map and transform data from any source.  ✅ Eliminate errors and boost efficiency.  ✅ Gain valuable insights with streamlined reporting.   Visit our website to learn more and request a demo!  👉 https://scifinsys.com 👈 #QuotientDatamapper #SFS #DataIntegration #Automation #FinTech

𝗖𝗼𝘂𝗹𝗱𝗻'𝘁 𝗮𝗴𝗿𝗲𝗲 𝗺𝗼𝗿𝗲 𝘄𝗶𝘁𝗵 Snowflake. 𝗔 𝗿𝗼𝗯𝘂𝘀𝘁 𝗱𝗮𝘁𝗮 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗲𝗱𝗿𝗼𝗰𝗸 𝗼𝗳 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗔𝗜 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻. 𝗔𝘁 𝗦𝗙𝗦, 𝘄𝗲 𝗵𝗮𝘃𝗲 𝗯𝘂𝗶𝗹𝘁 𝗼𝘂𝗿 #𝗤𝘂𝗼𝘁𝗶𝗲𝗻𝘁™ 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝘁𝗼 𝗲𝗻𝘀𝘂𝗿𝗲 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗿𝘀 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗱𝗮𝘁𝗮 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗼𝗱𝗮𝘆'𝘀 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲. Our latest Cortex blog post explores how Cortex empowers users to interact with data using natural language – no coding required! This opens up a world of possibilities for data exploration and analysis, democratizing access to insights. Cortex provides the tools to make that data usable and understandable for all. Ready to unlock the power of natural language queries with Cortex? Dive into our blog post: https://lnkd.in/gSay66Jm #AI #DataStrategy #Cortex #NaturalLanguageProcessing #DataDemocratization

𝐋𝐞𝐚𝐫𝐧 𝐌𝐨𝐫𝐞 𝐀𝐛𝐨𝐮𝐭 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭™ 𝐰𝐢𝐭𝐡 𝐎𝐮𝐫 𝐅𝐚𝐜𝐭 𝐒𝐡𝐞𝐞𝐭 Want to discover how Quotient can revolutionize your quantitative investment management? Our fact sheet is now available for download. With Quotient, you can: ✅ Analyze large amounts of data ✅ Build and test algorithms ✅ Generate reports To download the Quotient Fact Sheet and learn more about its capabilities, please visit our website: https://lnkd.in/gw38VTYp We encourage you to learn more about Quotient and how it can help you achieve your investment goals. #quotient #financialdata #machinelearning #datascience #investmentmanagement

𝐒𝐅𝐒 𝐢𝐬 𝐞𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐛𝐞 𝐬𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐟𝐨𝐫 𝐭𝐡𝐢𝐬 𝐲𝐞𝐚𝐫'𝐬 𝐇𝐚𝐫𝐯𝐚𝐫𝐝 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐛𝐬 𝐋𝐋𝐗 𝐆𝐞𝐨 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫! As a member of the Harvard Innovation Labs LLX Cohort, we are connecting with like-minded innovators and learning from some of the best advisors available in the FinTech field. All of our learnings empower us to enhance Quotient and succeed in our quest to provide greater value to our customers every day. A big thank you to the Harvard Innovation Labs team for this amazing program. We look forward to the journey ahead and are excited to see where it takes us. #HarvardInnovationLabs #LLXGEO #Innovation #Quotient #CustomerSuccess #FinTech #Quant #QuantitativeFinance #Innovators #Quotient #InvestmentManagement